A Novel Data Cleaning Technique Using CFDs

Data cleaning is the process of finding and deleting noisy data/records from the database. The simplest technique used for data cleaning is based on functional dependencies. As FDs works on entire instance of a table the authors introduced a new technique called conditional functional dependencies. CFDs are like if then rules. The dependence between the columns of a table is represented as conditions using functions. The main objective of CFDs is to decrease the processing (calculation or searching) time of a data element in the table.